{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 生成数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2.00000e-01  2.00000e-01 -6.00000e-01]\n",
      " [ 1.91438e-01  2.00970e-01 -5.87785e-01]\n",
      " [ 1.81927e-01  2.03171e-01 -5.78615e-01]\n",
      " [ 1.71766e-01  2.05746e-01 -5.71449e-01]\n",
      " [ 1.61254e-01  2.07828e-01 -5.63700e-01]\n",
      " [ 1.50455e-01  2.09235e-01 -5.55250e-01]\n",
      " [ 1.39425e-01  2.09830e-01 -5.46091e-01]\n",
      " [ 1.28238e-01  2.09485e-01 -5.36232e-01]\n",
      " [ 1.16976e-01  2.08096e-01 -5.25764e-01]\n",
      " [ 1.05737e-01  2.05599e-01 -5.14906e-01]\n",
      " [ 9.46135e-02  2.01990e-01 -5.03966e-01]\n",
      " [ 8.36863e-02  1.97322e-01 -4.93233e-01]\n",
      " [ 7.30118e-02  1.91687e-01 -4.82873e-01]\n",
      " [ 6.26249e-02  1.85194e-01 -4.72929e-01]\n",
      " [ 5.25470e-02  1.77950e-01 -4.63367e-01]\n",
      " [ 4.27932e-02  1.70056e-01 -4.54128e-01]\n",
      " [ 3.33764e-02  1.61605e-01 -4.45157e-01]\n",
      " [ 2.43100e-02  1.52686e-01 -4.36405e-01]\n",
      " [ 1.56080e-02  1.43381e-01 -4.27836e-01]\n",
      " [ 7.28558e-03  1.33774e-01 -4.19425e-01]\n",
      " [-6.41369e-04  1.23943e-01 -4.11152e-01]\n",
      " [-8.15595e-03  1.13966e-01 -4.03005e-01]\n",
      " [-1.52406e-02  1.03918e-01 -3.94978e-01]\n",
      " [-2.18769e-02  9.38726e-02 -3.87066e-01]\n",
      " [-2.80459e-02  8.39007e-02 -3.79268e-01]\n",
      " [-3.37282e-02  7.40715e-02 -3.71583e-01]\n",
      " [-3.89037e-02  6.44515e-02 -3.64011e-01]\n",
      " [-4.35518e-02  5.51046e-02 -3.56547e-01]\n",
      " [-4.76516e-02  4.60927e-02 -3.49184e-01]\n",
      " [-5.11815e-02  3.74751e-02 -3.41907e-01]\n",
      " [-5.41198e-02  2.93091e-02 -3.34691e-01]\n",
      " [-5.64444e-02  2.16501e-02 -3.27500e-01]\n",
      " [-5.81330e-02  1.45515e-02 -3.20279e-01]\n",
      " [-5.91636e-02  8.06515e-03 -3.12954e-01]\n",
      " [-5.95152e-02  2.24117e-03 -3.05432e-01]\n",
      " [-5.91690e-02 -2.87283e-03 -2.97595e-01]\n",
      " [-5.81103e-02 -7.23284e-03 -2.89310e-01]\n",
      " [-5.63313e-02 -1.08005e-02 -2.80432e-01]\n",
      " [-5.38333e-02 -1.35459e-02 -2.70813e-01]\n",
      " [-5.06300e-02 -1.54502e-02 -2.60305e-01]\n",
      " [-4.67484e-02 -1.65078e-02 -2.48758e-01]\n",
      " [-4.22299e-02 -1.67278e-02 -2.36016e-01]\n",
      " [-3.71299e-02 -1.61344e-02 -2.21895e-01]\n",
      " [-3.15168e-02 -1.47658e-02 -2.06172e-01]\n",
      " [-2.54713e-02 -1.26740e-02 -1.88564e-01]\n",
      " [-1.90862e-02 -9.92439e-03 -1.68711e-01]\n",
      " [-1.24706e-02 -6.60051e-03 -1.46127e-01]\n",
      " [-6.31746e-03 -3.23431e-03 -1.17522e-01]\n",
      " [-2.09488e-03 -9.74870e-04 -7.22303e-02]\n",
      " [-1.27859e-14 -2.10039e-15 -2.00000e-02]]\n",
      "[[ 2.91398e-01 -3.98865e-02  9.82736e-02]\n",
      " [ 2.76976e-01 -3.81504e-02  9.33130e-02]\n",
      " [ 2.44027e-01 -3.19372e-03 -6.43835e-03]\n",
      " [ 2.45176e-01 -1.59954e-03 -1.38979e-02]\n",
      " [ 2.47812e-01 -1.99674e-03 -1.53598e-02]\n",
      " [ 2.50272e-01 -1.74803e-03 -1.76105e-02]\n",
      " [ 2.52699e-01 -1.06063e-03 -2.00654e-02]\n",
      " [ 2.54753e-01  2.86357e-04 -2.23474e-02]\n",
      " [ 2.55705e-01  2.25140e-03 -2.35288e-02]\n",
      " [ 2.54738e-01  4.30039e-03 -2.26408e-02]\n",
      " [ 2.51649e-01  5.66498e-03 -1.96526e-02]\n",
      " [ 2.47109e-01  5.99128e-03 -1.56398e-02]\n",
      " [ 2.42087e-01  5.52086e-03 -1.17938e-02]\n",
      " [ 2.37245e-01  4.70102e-03 -8.67618e-03]\n",
      " [ 2.32836e-01  3.85071e-03 -6.30932e-03]\n",
      " [ 2.28878e-01  3.11104e-03 -4.52136e-03]\n",
      " [ 2.25305e-01  2.51719e-03 -3.13841e-03]\n",
      " [ 2.22035e-01  2.06190e-03 -2.03386e-03]\n",
      " [ 2.18994e-01  1.72674e-03 -1.12417e-03]\n",
      " [ 2.16123e-01  1.49361e-03 -3.55308e-04]\n",
      " [ 2.13375e-01  1.34790e-03  3.08043e-04]\n",
      " [ 2.10714e-01  1.27872e-03  8.89801e-04]\n",
      " [ 2.08116e-01  1.27842e-03  1.40707e-03]\n",
      " [ 2.05562e-01  1.34208e-03  1.87312e-03]\n",
      " [ 2.03043e-01  1.46715e-03  2.29936e-03]\n",
      " [ 2.00559e-01  1.65317e-03  2.69667e-03]\n",
      " [ 1.98115e-01  1.90172e-03  3.07636e-03]\n",
      " [ 1.95727e-01  2.21629e-03  3.45083e-03]\n",
      " [ 1.93421e-01  2.60219e-03  3.83399e-03]\n",
      " [ 1.91232e-01  3.06617e-03  4.24144e-03]\n",
      " [ 1.89211e-01  3.61561e-03  4.69025e-03]\n",
      " [ 1.87419e-01  4.25687e-03  5.19805e-03]\n",
      " [ 1.85931e-01  4.99222e-03  5.78080e-03]\n",
      " [ 1.84826e-01  5.81498e-03  6.44845e-03]\n",
      " [ 1.84184e-01  6.70344e-03  7.19824e-03]\n",
      " [ 1.84067e-01  7.61559e-03  8.00683e-03]\n",
      " [ 1.84508e-01  8.48969e-03  8.82575e-03]\n",
      " [ 1.85501e-01  9.25480e-03  9.58625e-03]\n",
      " [ 1.87008e-01  9.85043e-03  1.02164e-02]\n",
      " [ 1.88984e-01  1.02455e-02  1.06637e-02]\n",
      " [ 1.91407e-01  1.04440e-02  1.09091e-02]\n",
      " [ 1.94305e-01  1.04749e-02  1.09655e-02]\n",
      " [ 1.97766e-01  1.03737e-02  1.08625e-02]\n",
      " [ 2.01941e-01  1.01680e-02  1.06300e-02]\n",
      " [ 2.07036e-01  9.86998e-03  1.02847e-02]\n",
      " [ 2.13309e-01  9.48314e-03  9.81467e-03]\n",
      " [ 2.21259e-01  8.62407e-03  8.80904e-03]\n",
      " [ 2.51064e-01 -3.73111e-02 -2.64020e-02]\n",
      " [ 3.34797e-01 -9.69048e-02 -7.38810e-02]\n",
      " [ 2.88386e-01 -7.46556e-16 -9.45798e-16]]\n"
     ]
    }
   ],
   "source": [
    "# 创建网格数据\n",
    "\n",
    "# 使用 loadtxt 读取文件\n",
    "data_X = np.loadtxt('output/model_landing_6dof/iteration000_X.txt', dtype=float)\n",
    "data_U = np.loadtxt('output/model_landing_6dof/iteration000_U.txt',dtype=float)\n",
    "\n",
    "data_X = data_X.transpose()\n",
    "data_U = data_U.transpose()\n",
    "#print(data_U)\n",
    "#print(data_X)\n",
    "r_i  = data_X[:,2:5]\n",
    "u = data_U\n",
    "print(r_i)\n",
    "print(u)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.976343\n",
      "50\n",
      "50\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "-0.0381504"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data_X[1,1])\n",
    "\n",
    "print(data_X.shape[0])\n",
    "print(data_U.shape[0])\n",
    "#data_U[:,1]\n",
    "data_X[1,1].dtype\n",
    "data_U[1,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "range(0, 50)\n",
      "(50, 3)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(50, 14)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_X[:,1].tolist()\n",
    "print(range(data_X.shape[0]))\n",
    "data_U[:,1].tolist()[49]\n",
    "print(data_U.shape)\n",
    "data_X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建图形\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "ax.scatter(r_i[:,0], r_i[:,1], r_i[:,2])\n",
    "\n",
    "ax.quiver(r_i[:,0],r_i[:,1],r_i[:,2],u[:,0],u[:,1],u[:,2],length = 0.01, normalize = True)\n",
    "#for i in range(data_X.shape[0]):\n",
    "    #print(i)\n",
    "    # x,y,z = r_i[:,1].tolist()[i],data_X[:,2].tolist()[i],data_X[:,3].tolist()[i]\n",
    "    # u_x,u_y,u_z = data_U[:,1].tolist()[i],data_U[:,2].tolist()[i],data_U[:,3].tolist()[i]\n",
    "    #ax.quiver(x,y,z,u_x,u_y,u_z,length = 0.5, normalize = True)\n",
    "    #print(x,y,z)\n",
    "#    ax.quiver(data_X[i,1],data_X[i,2],data_X[i,3],data_U[i,1],data_U[i,2],data_U[i,3],length = 0.5, normalize = True)\n",
    "    # ax.quiver(data_X[:,1].tolist()[i],data_X[:,2].tolist()[i],data_X[:,3].tolist()[i],\n",
    "    #         data_U[:,1].tolist()[i],data_U[:,2].tolist()[i],data_U[:,3].tolist()[i], length=0.1)\n",
    "# 添加标题和标签\n",
    "#ax.quiver(data_X[1,1],data_X[1,2],data_X[1,3],data_U[1,1],data_U[1,2],data_U[1,3], length=0.1)\n",
    "# ax.quiver(data_X[:,1].tolist()[i],data_X[:,2].tolist()[i],data_X[:,3].tolist()[i],\n",
    "#           data_U[:,1].tolist()[i],data_U[:,2].tolist()[i],data_U[:,3].tolist()[i], length=0.1)\n",
    "#ax.quiver(1,1,1,1.2,1.4,1.8, length=0.1)\n",
    "ax.set_xlabel('X')\n",
    "ax.set_ylabel('Y')\n",
    "ax.set_zlabel('Z')\n",
    "ax.set_title('3D Vector Field')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax.quiver(0,0,0,1.2,1.4,1.8, length=1)\n",
    "ax.set_xlim([0, 2])\n",
    "ax.set_ylim([0, 2])\n",
    "ax.set_zlim([0, 2])\n",
    "ax.set_xlabel('X')\n",
    "ax.set_ylabel('Y')\n",
    "ax.set_zlabel('Z')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "GPT_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
